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README.md
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license: apache-2.0
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---
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license: apache-2.0
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language: en
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pretty_name: Manipulative Language Detection Dataset
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task_categories:
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- text-classification
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- text-scoring
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tags:
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- manipulative-language
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- nlp
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- binary-classification
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- dialogue
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- transformer
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size_categories:
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- 1K<n<10K
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---
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# Manipulative Language Detection Dataset
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This dataset contains annotated text examples for detecting manipulative language at both sentence and dialogue levels.
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## Dataset Description
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The Manipulative Language Detection Dataset is designed to help train and evaluate transformer-based models in identifying manipulative language patterns. The dataset consists of two complementary components:
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1. **Sentence-level data**: Individual sentences labeled as manipulative (1) or non-manipulative (0)
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2. **Dialogue-level data**: Conversational exchanges with annotations for manipulation techniques, victim vulnerabilities, and context
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The dataset is sourced from various dialogues, including movie scripts and other conversational contexts. Each entry is thoroughly annotated for manipulation attributes.
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## Data Format
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### Sentence-Level Data
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Each entry contains:
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- Inner ID
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- Unique ID
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- Sentence text
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- Binary manipulation label (1=manipulative, 0=non-manipulative)
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- Original context (dialogue source)
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- Movie name
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- Annotator agreement metrics
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- Manipulation technique categorization (persuasion, intimidation, seduction, etc.)
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- Victim/vulnerability annotations
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- Confidence scores
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### Dialogue-Level Data
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Each entry contains:
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- Inner ID
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- Unique ID
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- Dialogue exchange with speaker identification
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- Manipulation classification (binary)
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- Movie Name
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- Annotator agreement metrics
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- Manipulation technique categorization (persuasion, intimidation, seduction, etc.)
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- Victim/vulnerability annotations
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- Confidence scores
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## Manipulation Techniques
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The dataset identifies several manipulation techniques, including:
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- Persuasion or Seduction
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- Accusation
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- Denial
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- Evasion
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- Feigning Innocence
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- Rationalization
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- Playing the Victim Role
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- Playing the Servant Role
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- Shaming or Belittlement
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- Intimidation
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- Brandishing Anger
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## Targeted Vulnerability
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The dataset identifies several vulnerability targets, including:
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- Over-responsibility
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- Over-intellectualization
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- Naivete
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- Low self-esteem
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- Dependency
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## Usage
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This dataset is designed for training transformer-based models to detect manipulative language. Researchers can use it to:
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1. Train binary classifiers at the sentence level and/or dialogue level
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2. Develop more sophisticated models that identify specific manipulation techniques
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3. Study the contextual nature of manipulation in dialogues
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4. Evaluate models' performance across different manipulation strategies
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### Loading the Dataset
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```python
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from datasets import load_dataset
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# Load the dataset
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dataset = load_dataset("pauladroghoff/manipulative-language-detection")
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# Access sentence-level data
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sentence_data = dataset["sentence_level"]
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# Access dialogue-level data
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dialogue_data = dataset["dialogue_level"]
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